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2020 – today
- 2024
[j6]Kongming Liang
, Zijin Yin, Min Min, Yan Liu, Zhanyu Ma, Jun Guo:
Learning Dynamic Prototypes for Visual Pattern Debiasing. Int. J. Comput. Vis. 132(5): 1777-1799 (2024)- [j5]Ruoyi Du, Dongliang Chang, Zhanyu Ma, Kongming Liang, Yi-Zhe Song, Jun Guo:
Semi-Supervised Learning for FGVC With Out-of-Category Data. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2658-2671 (2024) - [c38]Jiayi Gao, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo:
Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection. AAAI 2024: 1806-1814 - [c37]Zijin Yin, Kongming Liang, Bing Li, Zhanyu Ma, Jun Guo:
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing. CVPR 2024: 22509-22519 - [c36]Tian Zhang, Kongming Liang, Ke Zhang, Zhanyu Ma:
Learning Conditional Prompt for Compositional Zero-Shot Learning. ICME 2024: 1-6 - [c35]Wenjie Li, Heng Guo, Xuannan Liu, Kongming Liang, Jiani Hu, Zhanyu Ma, Jun Guo:
Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network. ACM Multimedia 2024: 4515-4523 - [c34]Haiwen Zhang, Zixi Yang, Yuanzhi Liu, Xinran Wang, Zheqi He, Kongming Liang, Zhanyu Ma:
Evaluating Attribute Comprehension in Large Vision-Language Models. PRCV (5) 2024: 98-113 - [c33]Yuxuan Wang, Tianwei Cao, Kongming Liang, Zhongjiang He, Hao Sun, Yongxiang Li, Zhanyu Ma:
Mixture-of-Hand-Experts: Repainting the Deformed Hand Images Generated by Diffusion Models. PRCV (5) 2024: 143-157 - [i18]Zijin Yin, Kongming Liang, Bing Li, Zhanyu Ma, Jun Guo:
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing. CoRR abs/2403.01231 (2024) - [i17]Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler:
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR abs/2403.19425 (2024) - [i16]Wenjie Li, Heng Guo, Xuannan Liu, Kongming Liang, Jiani Hu, Zhanyu Ma, Jun Guo:
Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network. CoRR abs/2407.19768 (2024) - [i15]Haiwen Zhang, Zixi Yang, Yuanzhi Liu, Xinran Wang, Zheqi He, Kongming Liang, Zhanyu Ma:
Evaluating Attribute Comprehension in Large Vision-Language Models. CoRR abs/2408.13898 (2024) - 2023
- [j4]Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu:
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation. IEEE Trans. Medical Imaging 42(1): 183-195 (2023) - [c32]Ruoyi Du, Dongliang Chang, Kongming Liang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
On-the-Fly Category Discovery. CVPR 2023: 11691-11700 - [c31]Fengming Liang, Changlin Fan, Bo Xiao, Kongming Liang:
Semantic Centralized Contrastive Learning for Unsupervised Hashing. ICASSP 2023: 1-5 - [c30]Jiahao Xie, Wei Xu, Dingkang Liang, Zhanyu Ma, Kongming Liang, Weidong Liu, Rui Wang, Ling Jin:
Super-Resolution Information Enhancement for Crowd Counting. ICASSP 2023: 1-5 - [c29]Yuqi Yang, Songyun Yang, Jiyang Xie, Zhongwei Si, Kai Guo, Ke Zhang, Kongming Liang:
Multi-Head Uncertainty Inference for Adversarial Attack Detection. ICASSP 2023: 1-5 - [c28]Zijin Yin, Runpu Wei, Kongming Liang, Yiyang Lin, Wei Liu, Zhanyu Ma, Min Min, Jun Guo:
Semantic Memory Guided Image Representation for Polyp Segmentation. ICASSP 2023: 1-5 - [c27]Kongming Liang, Xinran Wang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo:
Attribute Learning with Knowledge Enhanced Partial Annotations. ICIP 2023: 1715-1719 - [c26]Yitao Chen, Ruoyi Du, Kongming Liang, Zhanyu Ma:
Self-Enhanced Training Framework for Referring Expression Grounding. ICIP 2023: 3060-3064 - [c25]Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma, Jun Guo:
Vision-Language Assisted Attribute Learning. IC-NIDC 2023: 1-5 - [c24]Wenqing Yu, Dongliang Chang, Kongming Liang, Zhanyu Ma:
Bilinear Adversarial Network for Fine-Grained Domain Adaptation. IC-NIDC 2023: 132-136 - [c23]Yi Zhong, Mengqiu Xu, Kongming Liang, Kaixin Chen, Ming Wu:
Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray Images. MICCAI (4) 2023: 724-733 - [c22]Kongming Liang, Xinran Wang, Haiwen Zhang, Zhanyu Ma, Jun Guo:
Hierarchical Visual Attribute Learning in the Wild. ACM Multimedia 2023: 3415-3423 - [c21]Yinuo Jing, Chunyu Wang, Ruxu Zhang, Kongming Liang, Zhanyu Ma:
Category-Specific Prompts for Animal Action Recognition with Pretrained Vision-Language Models. ACM Multimedia 2023: 5716-5724 - [c20]Jie Wang, Yixiao Zheng, Ruoyi Du, Yiming Zhang, Kongming Liang, Zhanyu Ma:
Plugging Stylized Controls in Open-Stylized Image Captioning. PRCV (1) 2023: 309-320 - [c19]Mandan Guan, Wenqing Yu, Yurong Guo, Keyan Huang, Jiaxun Zhang, Kongming Liang, Zhanyu Ma:
Focus the Overlapping Problem on Few-Shot Object Detection via Multiple Predictions. PRCV (2) 2023: 427-439 - [c18]Zihan Yan, Ruoyi Du, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma:
Image Generation Based Intra-class Variance Smoothing for Fine-Grained Visual Classification. PRCV (6) 2023: 447-459 - [i14]Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu:
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation. CoRR abs/2301.02393 (2023) - [i13]Jiahao Xie, Wei Xu, Dingkang Liang, Zhanyu Ma, Kongming Liang, Weidong Liu, Rui Wang, Ling Jin:
Super-Resolution Information Enhancement For Crowd Counting. CoRR abs/2303.06925 (2023) - [i12]Yi Zhong, Mengqiu Xu, Kongming Liang, Kaixin Chen, Ming Wu:
Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images. CoRR abs/2307.03942 (2023) - [i11]Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma, Jun Guo:
Vision-language Assisted Attribute Learning. CoRR abs/2312.07009 (2023) - 2022
- [j3]Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo:
Dual-granularity feature alignment for cross-modality person re-identification. Neurocomputing 511: 78-90 (2022) - [c17]Xiangxuan Shan, Zijin Yin, Jiayi Gao, Kongming Liang, Zhanyu Ma, Jun Guo:
Unsupervised Domain Adaptation for Semantic Segmentation with Global and Local Consistency. CICAI (1) 2022: 154-165 - [c16]Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo:
Learning Invariant Visual Representations for Compositional Zero-Shot Learning. ECCV (24) 2022: 339-355 - [c15]Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo:
Duplex Contextual Relation Network For Polyp Segmentation. ISBI 2022: 1-5 - [c14]Jingye Wang, Ruoyi Du, Dongliang Chang, Kongming Liang, Zhanyu Ma:
Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction. ACM Multimedia 2022: 4821-4829 - [c13]Dongliang Chang, Junhan Chen, Xinran Wang, Ruoyi Du, Wenqing Yu, Yufan Liu, Yujun Tong, Kongming Liang, Yi-Zhe Song, Zhanyu Ma:
Complex Scenario-Oriented Fine-Grained Visual Classification Platform. MMSP 2022: 1 - [c12]Yitao Chen, Shibo Nie, Mandan Guan, Jie Wang, Ruoyi Du, Dongliang Chang, Kongming Liang, Zhanyu Ma:
Multi-modal Human-machine Conversation System for Real Physical World. MMSP 2022: 1 - [i10]Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo:
Learning Invariant Visual Representations for Compositional Zero-Shot Learning. CoRR abs/2206.00415 (2022) - [i9]Yuqi Yang, Songyun Yang, Jiyang Xie, Zhongwei Si, Kai Guo, Ke Zhang, Kongming Liang:
Multi-head Uncertainty Inference for Adversarial Attack Detection. CoRR abs/2212.10006 (2022) - 2021
- [c11]Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye:
Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects. MICCAI (1) 2021: 186-195 - [c10]Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu:
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images. MICCAI (7) 2021: 432-441 - [c9]Chenyu Guo, Jiyang Xie, Kongming Liang, Xian Sun, Zhanyu Ma:
Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification. MMAsia 2021: 49:1-49:5 - [i8]Dongliang Chang, Yixiao Zheng, Zhanyu Ma, Ruoyi Du, Kongming Liang:
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features. CoRR abs/2102.00367 (2021) - [i7]Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo:
Duplex Contextual Relation Network for Polyp Segmentation. CoRR abs/2103.06725 (2021) - [i6]Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo:
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification. CoRR abs/2104.00226 (2021) - [i5]Chenyu Guo, Jiyang Xie, Kongming Liang, Xian Sun, Zhanyu Ma:
Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification. CoRR abs/2106.10920 (2021) - [i4]Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu:
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images. CoRR abs/2110.05039 (2021) - 2020
- [j2]Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen:
Visual concept conjunction learning with recurrent neural networks. Neurocomputing 395: 229-236 (2020) - [c8]Chenghao Liu, Fengqian Pang, Yanlin Liu, Kongming Liang, Xiuli Li, Xiangzhu Zeng, Chuyang Ye:
Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions. ISBI 2020: 279-282 - [c7]Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang:
Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation. ISBI 2020: 772-776 - [c6]Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang:
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation. MICCAI (7) 2020: 208-217 - [i3]Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang:
Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation. CoRR abs/2002.11918 (2020) - [i2]Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang:
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation. CoRR abs/2007.05393 (2020)
2010 – 2019
- 2019
- [j1]Kongming Liang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen:
Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1747-1760 (2019) - [i1]Huikai Wu, Junge Zhang, Kaiqi Huang, Kongming Liang, Yizhou Yu:
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation. CoRR abs/1903.11816 (2019) - 2018
- [c5]Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen:
Visual Relationship Detection With Deep Structural Ranking. AAAI 2018: 7098-7105 - 2017
- [c4]Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen:
Incomplete Attribute Learning with auxiliary labels. IJCAI 2017: 2252-2258 - 2016
- [c3]Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen:
Attribute Conjunction Learning with Recurrent Neural Network. ECML/PKDD (1) 2016: 345-360 - 2015
- [c2]Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen:
A Unified Multiplicative Framework for Attribute Learning. ICCV 2015: 2506-2514 - 2014
- [c1]Kongming Liang, Hong Chang, Zhen Cui, Shiguang Shan, Xilin Chen:
Representation Learning with Smooth Autoencoder. ACCV (2) 2014: 72-86
Coauthor Index
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last updated on 2024-11-07 21:34 CET by the dblp team
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